Project Info

Winner

[Sponsor - Vectara]

Jobstr

Devpost

This project did not submit a demo video on Devpost.

We hacked until the last minute, so check out our Google Slides for the latest screens!

Inspiration

Like most college students, the members of our team are facing down one of the most daunting decisions we've ever had to make. At 19 years old, with barely any life experience under our belts, we need to decide what we want to do with the rest of our lives. And judges, if you've gone through a career change recently, maybe the apprehension, worry, and uncertainty that this decision brings is still fresh in your mind. Our app aims to change all of that.

What it does

Jobstr uses the familiar, fun, and snappy format of a dating app to help you find your perfect career! Swipe through jobs that are specifically tailored for your profile. Are they hot or not? If you "like" a job, you'll get a match! Then, you'll get the chance to speak to an AI chatbot specifically programmed with all the knowledge of a seasoned professional in the field. Who do you want to be?

How we built it

Inspired by the internships we've done, our tech stack uses the following tech stack: React Native TypeScript MobX-State-Tree Expo RN Reanimated for Animations AsyncStorage Jest & Maestro for Tests CircleCI We also use AI tooling: To generate inclusive images To allow you to chat with a member of a chosen career

Challenges we ran into

We have a clear pathway for all the features we want to implement to create a MVP, however we had a little bit a trouble completing some of the last features on time (eg. editing of your own profile page)

Accomplishments we're proud of

Getting almost all of our critical features done! Using a scrum and CI/CD format

What we learned

Lots about Figma, UI/UX! Data Scraping Working in the React Native Framework

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • FirebaseIn code
  • JavaScriptIn code
  • ReactIn code
  • TypeScriptIn code
  • PythonClaimed

4 of 5 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

371 KB

Source files

121

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars